NDVI Values Suggest Immediate Responses to Fire in an Uneven-Aged Mixed Forest Stand

• Published in: Forests Vol. 13; no. 11; p. 1901
• Main Authors: Marín Pompa-García, José Alexis Martínez-Rivas, Ricardo David Valdez-Cepeda, Carlos Arturo Aguirre-Salado, Dante Arturo Rodríguez-Trejo, Liliana Miranda-Aragón, Felipa de Jesús Rodríguez-Flores, Daniel José Vega-Nieva
• Format: Journal Article
• Language: English
• Published: MDPI AG 01-11-2022
• Subjects: greenness; multispectral sensors; photosynthetic activity; prescribe fires; UAVs
• ISSN: 1999-4907
• DOI: 10.3390/f13111901

Fire modifies vegetation dynamics in terrestrial ecosystems. Abundant literature has studied the post-fire effects with satellite sensors; however, relatively fewer studies have used unmanned aerial vehicles (UAVs) to assess the dynamics of greenness prior to and immediately following prescribed fires. Using multispectral sensors mounted on UAVs, we documented the results of the normalized difference vegetation index (NDVI) as a proxy for pre- and post-fire greenness in a natural forest stand in northern Mexico. Using spectral reflectance techniques and the statistical analyses of Kruskal–Wallis and pairwise Wilcoxon rank-sum tests, statistically significant differences were found in the NDVI values, measured before and after controlled burning (p < 0.05). The results showed an increase in post-fire “greenness” from 0.57 to 0.65. This was interpreted as an immediate change in vegetation activity in the canopy, which could be attributable as a stimulus to heat stress. Complementary spectral indices also reinforce our findings; we recognize that further research is required, for instance, to address the timing of image capture. Our findings demonstrate the potential and some of the challenges associated with the use of UAVs to monitor prescribed fires, while also suggesting the need for more detailed physiological and phenological studies. High spatial and spectral resolution maps of greenness represent a valuable starting point for subsequent temporal monitoring and contribute to the knowledge of fire effects at fine spatial resolutions.